Radiofrequency transmitter with a high degree of integration and possibly with self-calibrating image deletion

ABSTRACT

A radio frequency transmitter, of the type supplied with two signals in baseband and in quadrature, I(nT) and q(nT), which are images from two binary streams representing information to be transmitted, 1) provides a first transposition into the digital domain, at an intermediate frequency ω 0 , for the baseband signals and generates, by combination, two signals of intermediate frequency in quadrature, 2) provides a second transposition into the analog domain, after multiplication by a frequency ω 1 , followed by a summation of the two signals at intermediate frequency and in quadrature, in such a way that a resultant signal is generated which is found finally around a frequency ω 2 , where ω 2 =ω 0 +ω 1 . In an advantageous variant, the radio frequency transmitter additionally digitally compensates gain and phase imperfections of the direct conversion.

FIELD OF THE INVENTION

The field of the invention is that of transmitting signals by a frequency channel.

BACKGROUND

It will be recalled that transmission of a signal by a frequency channel more and more often calls upon digital modulation, the main advantage of which is that it permits the use of signal processing algorithms. The purpose of these algorithms is to increase the strength of the signal to be transmitted relative to the propagation channel.

SUMMARY

More precisely, the invention relates to a radiofrequency transmitter of the type supplied by two signals (or components) in baseband and in quadrature i(t) and q(t), which are images of two binary streams representing a piece of information to be transmitted. In effect, whatever the type of digital modulation, the signal to be transmitted m(t) can be written:

m(t)=i(t)·cos(ωt)−q(t)·sin(ωt), where ω (=2πf) is the transmission frequency of the signal (also called the carrier frequency).

In the state of the technology, different types of radiofrequency transmitter are known, each based on a distinct architecture. The most widely known are the radiofrequency transmitter with frequency transposition, the radiofrequency transmitter with direct conversion and the radiofrequency transmitter with a phase locked loop. Their respective disadvantages will now be discussed.

The radiofrequency transmitter with frequency transposition which permits transposition to an intermediate frequency FI, requires the use of selective pass band filters, so as to reject the image frequency of the wanted signal to be transmitted. This first type of radiofrequency transmitter provides good performance, thanks to frequency transposition into the digital domain. However, the requirement to use high performance filters restricts its degree of integration onto silicon.

The radiofrequency transmitter with direct conversion has the most simple architecture and offers a high degree of integration. Its weak point is its high sensitivity to the performance of the elements that make it up. In particular, it is recommended that any leakage from the conversion oscillator via the mixer be avoided or that provision is made for perfect quadrature of the sine and cosine signals. These imperatives are often difficult to keep to.

The radiofrequency transmitter with a phase locked loop offers numerous advantages, such as the ability to do away with RF filters thanks to the pass band characteristic of the phase locked loop or PLL. The requirement to have the signals strictly in quadrature is also avoided. Nevertheless, these results are only possible if the voltage controlled oscillator or VCO included in the PLL provides high performance. This is not the case with integrated VCOs. Consequently, the PLL radiofrequency transmitter does not enable a high level of integration to be provided.

Therefore in a general way, these three types of known architecture offer a necessary compromise between integration, consumption and complexity. In other words, none of these three known solutions is entirely satisfactory.

A particular objective of the invention is to remedy these various disadvantages of the state of the technology.

More precisely, one of the objectives of this invention is to provide a radiofrequency transmitter providing good precision and offering a very high degree of integration on silicon.

Another objective of the invention is to provide such a radiofrequency transmitter that has very low sensitivity to the imperfections in the elements that make it up.

Another objective of the invention is to provide such a radiofrequency transmitter that enables one to avoid degradation of the wanted signal.

A complementary objective of the invention is to provide such a radiofrequency transmitter which is simple and is not any more complex than the known architectures.

Another objective of the invention is to provide such a radiofrequency transmitter that allows one to generate a resultant signal that has an image frequency that is sufficiently weak to be able to be suppressed by a filter with relaxed constraints (this filter thus being capable of being integrated).

In an embodiment variation, another objective of the invention is to provide a radiofrequency transmitter that does not give an image frequency, the image frequency at the output being completely attenuated, in an automatic fashion, by a self-calibrating system that compensates for imperfections both in gain and in phase.

These various objectives as well as others that will become apparent below, have been achieved according to the invention by a radiofrequency transmitter, of the type supplied with two signals in baseband and in quadrature, i(nT) and q(nT), which are images from two binary streams representing information to be transmitted, the radiofrequency transmitter comprising:

means of transposition into an intermediate frequency and of digital processing, that provide a first transposition into the digital domain, at an intermediate frequency ω₀, for said base band signals, and generating, by combination, two signals at the intermediate frequency and in quadrature;

means of direct conversion, providing a second transposition into the analog domain, after multiplication by a frequency ω₁, followed by a summation, of said two signals at the intermediate frequency and in quadrature, in a way that generates a resultant signal which is finally modulated around a frequency ω₂, where ω₂=ω₀+ω₁.

Therefore, this invention proposes an original architecture for a radiofrequency transmitter that combines the architectures with direct conversion and with frequency transposition, and which provides, in addition, means of digital processing, which provide preprocessing that permits attenuation at the output of the image frequency introduced by the means of transposition into an intermediate frequency. Hence, this new architecture combines the main advantage of the radiofrequency transmitter with direct conversion (no image frequency) with that of the radiofrequency transmitter with frequency transposition (no degradation of the wanted signal), while at the same time avoiding their disadvantages (sensitivity to imperfections, high performance filter).

In the description that follows, it will be shown that this invention operates perfectly if the two channels of the direct conversion means have the same gain and if the sines and cosines supplied by the oscillator included in the direct conversion means do not suffer from poor quadrature forming.

It will also be shown that, in the contrary case, a low power interference signal appears at the image frequency, but the wanted signal is not degraded in practice. Consequently, it is not essential to use, at the output, a filter attenuating the image frequency of the wanted signal. In any case, when the performance demanded from the transmission chain requires the use of such a filter, the latter can have relaxed constraints since the image frequency is very attenuated and can therefore be easily suppressed. In other words, the quality of the transmitted signal can be preserved without the need for high image filtering constraints. In certain cases, if the constraints are sufficiently relaxed, the image filter may possibly also be integrated with it.

It should be noted that the first frequency transposition and the signal processing are carried out in the digital domain, which enables one to benefit from the precision and the high degree of integration (on silicon for example).

It will also be noted that the radiofrequency transmitter according to the invention has a high degree of integration (for example, on silicon) and advantageously can even be entirely produced in the form of an integrated circuit. In effect, the means of direct conversion are known for their high degree of silicon integration. Furthermore, the level of integration of the means of transposition into an intermediate frequency can be relatively high since it is not necessary to use high performance filters. Finally, the digital processing means can be reduced to an assembly of elements currently used in integrated systems on silicon, and notably in transmitters with frequency transposition. This assembly of elements comprises, for example, a Numerically Controlled Oscillator or NCO and linear operators (multipliers and adders).

In addition, the extra complexity compared with a direct conversion architecture is negligible.

Finally, passing through a first intermediate frequency ω₀ generated in the digital domain makes possible the attenuation of any possible leak from the conversion oscillator via the mixers.

In one advantageous embodiment of the invention, said radiofrequency transmitter additionally comprises means of digitally compensating for imperfections in gain and in phase in said means of direct conversion.

Hence, by ensuring that at the output of the radiofrequency transmitter, the signal at the image frequency is completely attenuated, the performance of the radiofrequency transmitter according to the invention is optimized and the resulting transmitted signal has characteristics close to the ideal case. Thanks to this self-calibrating technique of image annulment, the errors introduced by the analog part (that is to say the means of direct conversion) sensitive to the imperfections, are compensated for in the digital domain.

It is important to note that in this particular embodiment, no image frequency filter whatsoever is required. This new architecture for a radiofrequency transmitter therefore operates independently of the chosen carrier frequency and is therefore particularly suitable for multi-standard systems of radiocommunications. Among the standards possible, one may mention only by way of examples, the Global System for Mobile communications or GSM, the Digital Cellular System 1800 MHz or DCS 1800, the Personal Communication System or PCS 1900, Digital European Cordless Telecommunications or DECT or the Universal Mobile Telecommunication System or UMTS etc.

Preferably, said analog/digital conversion means have a working frequency substantially identical to the working frequency of the digital/analog conversion means in said means of direct conversion.

In a preferred way, said means of digital compensation are included in said integrated circuit. Hence, the radiofrequency transmitter according to this invention can be entirely integrated, for example on silicon.

BRIEF DESCRIPTION OF THE DRAWINGS

Other characteristics and advantages of the invention will become apparent on reading the following description of two preferred embodiments of the invention, given by way of examples for information purposes and being non-limitative and accompanied by the appended drawings in which:

FIG. 1 shows a general diagram of a first embodiment of a radiofrequency transmitter according to this invention with “simple” image annulment; and

FIG. 2 shows a general diagram of a second embodiment of a radiofrequency transmitter according to this invention with “self-calibrating” image annulment.

DETAILED DESCRIPTION

Therefore the invention relates to a radiofrequency transmitter of the type supplied with two digital signals in baseband and in quadrature i(nT) and q(nT), which are images of two binary streams representing information to be transmitted. T is the sample period.

In a traditional way, and whatever the digital modulation used, one is seeking to provide a signal to be transmitted m(t) that can be written:

m(t)=i(t)·cos(ωt)−q(t)·sin(ωt).

where ω (=2πf), the frequency of transmission of the signal (also called the carrier frequency).

1. FIRST EMBODIMENT: “SIMPLE” IMAGE ANNULMENT

1.1 PRESENTATION OF THE ARCHITECTURE

A first embodiment of a radiofrequency transmitter according to this invention will now be described making reference to FIG. 1.

In this first embodiment, the radiofrequency transmitter comprises means 1 of transposition into an intermediate frequency and of digital processing and means 2 of direct conversion.

The means 1 of transposition into an intermediate frequency and of digital processing generate two signals m₁(t) and m₂(t) at an intermediate frequency ω₀ and in quadrature. They comprise:

a numerically controlled oscillator NCO (not shown) at an intermediate frequency ω₀, supplying the following signals: cos(ω₀·nT) and sin(ω₀·nT);

four multipliers 3 ₁ to 3 ₄; and

two adders 4 ₁ to 4 ₂.

The multipliers 3 ₁ to 3 ₄ and the adders 4 ₁ and 4 ₂ are fitted in such a way that the signals m₁(nT) and m₂(nT) are of the form:

m ₁(nT)=i(nT)·cos(ω₀ ·nT)−q(nT)·sin(ω₀ ·nT)

m ₂(nT)=−i(nT)·sin(ω₀ ·nT)−q(nT)·cos(ω₀ ·nT)

The means 2 of direct conversion generate a resultant signal m(t). They comprise:

on each of the two channels in quadrature, a digital/analog converter (CNA) 5 ₁, 5 ₂ and a high-stop filter 6 ₁, 6 ₂, that permits the conversion of the two digital signals m₁(nT) and m₂(nT) into two analog signals m₁(t) and m₂(t);

a conversion oscillator 7 at a transmission frequency ω₁, supplying the following signals: cos(ω₁·t) and sin(ω₁·t);

two multipliers 8 ₁ and 8 ₂;

one adder 9.

The multipliers 8 ₁ and 8 ₂ and the adder 9 are fitted in such a way that the resultant signal m(t) is of the form:

m(t)=g ₁ ·m ₁(t)·cos(ω₁ t+θ ₁)+g ₂ ·m ₂(t)·sin(ω₁ t+θ ₂)

where g₁ and g₂ are the respective gains of the two channels in quadrature of the means 2 of direct conversion, and θ₁ and θ₂ are the respective phase shifts of the two channels in quadrature of the means 2 of direct conversion.

As may be found in detail in the description below, it is shown that the resultant signal is finally modulated around a frequency ω₂(=ω₀+ω₁).

Optionally, a filter 17 at the image frequency ω₂(=ω₀+ω₁), can be placed at the output from the radiofrequency transmitter. This filter 17 may possibly also be included in the integrated circuit in which form the radiofrequency transmitter is produced.

1.2 DESCRIPTION OF THE IDEAL CASE

Therefore, the principle consists of generating two signals m₁(t) and m₂(t) made up of the two channels in quadrature i(t) and q(t).

m ₁(t)=i(t)·cos(ω₀ t)−q(t)·sin(ω₀ t)

m ₂(t)=−i(t)·sin(ω₀ t)−q(t)·cos(ω₀ t)  (2)

where ω₀(=2πf₀) is the first intermediate frequency generated in the digital domain.

Next, the means 2 of direct conversion transpose the two signals around the carrier frequency ω₁ by multiplying them by sin(ω₁t+φ) and cos (ω₁t+φ).

The resultant signal m(t) is written in the following way:

m(t)=m ₁(t)·cos(ω₁ t+φ)+m ₂(t)·sin(ω₁ t+φ)=i(t)·cos(ω₀ t+ω ₁ t+φ)−q(t)·sin(ω₀ t+ω ₁ t+φ)  (3)

m(t)=i(t)·cos(ω₂ t+φ)−q(t)·sin(ω₂ t+φ)  (4)

A signal is obtained modulated around the carrier ω₂=ω₀+ω₁, the particular feature of which is not to have an image frequency around ω₁. The resultant formula in equation (4) is verified for the ideal case where the transmitter with direct conversion has perfect characteristics. Unfortunately, this is rarely the case.

1.3 DESCRIPTION OF THE REAL CASE

Taking the imperfections into account, the resultant transmitted signal m(t) is written:

m(t)=g ₁ ·m ₁(t)·cos(ω₁ t+θ ₁)+g ₂ ·m ₂(t)·sin(ω₁ t+θ ₂)  (5)

Equation (2) enables one to write equation (5) that includes i(t) and q(t):

m(t)=i(t)·[g ₁·cos ω₀ t·cos(ω

1 t+θ ₁)−g ₂·sin ω₀ t·sin(ω₁ t+θ ₂)]

−q(t)·[g ₁·sin ω₀ t·cos(ω₁ t+θ ₁)+g

2·cos ω₀ t·sin(ω₁ t+θ ₂)]

$\begin{matrix} {\begin{matrix} {{m(t)} = \quad {{\frac{i(t)}{2} \cdot \begin{Bmatrix} {{g_{1}\left\lbrack {{\cos \left( {{\omega_{0}t} - {\omega_{1}t} - \theta_{1}} \right)} + {\cos \left( {{\omega_{0}t} + {\omega_{1}t} + \theta_{1}} \right)}} \right\rbrack} -} \\ {g_{2}\left\lbrack {{\cos \left( {{\omega_{0}t} - {\omega_{1}t} - \theta_{2}} \right)} - {\cos \left( {{\omega_{0}t} + {\omega_{1}t} + \theta_{2}} \right)}} \right\rbrack} \end{Bmatrix}} -}} \\ {\quad {\frac{q(t)}{2} \cdot \begin{Bmatrix} {{g_{1}\left\lbrack {{\sin \left( {{\omega_{0}t} - {\omega_{1}t} - \theta_{1}} \right)} + {\sin \left( {{\omega_{0}t} + {\omega_{1}t} + \theta_{1}} \right)}} \right\rbrack} -} \\ {g_{2}\left\lbrack {{\sin \left( {{\omega_{0}t} - {\omega_{1}t} - \theta_{2}} \right)} - {\sin \left( {{\omega_{0}t} + {\omega_{1}t} + \theta_{2}} \right)}} \right\rbrack} \end{Bmatrix}}} \end{matrix}\begin{matrix} {{m(t)} = \quad {{\frac{i(t)}{2} \cdot \begin{Bmatrix} {{g_{1} \cdot {\cos \left( {{\omega_{0}t} - {\omega_{1}t} - \theta_{1}} \right)}} - {g_{2} \cdot {\cos \left( {{\omega_{0}t} - {\omega_{1}t} - \theta_{2}} \right)}} +} \\ {{g_{1} \cdot {\cos \left( {{\omega_{0}t} + {\omega_{1}t} + \theta_{1}} \right)}} + {g_{2} \cdot {\cos \left( {{\omega_{0}t} + {\omega_{1}t} + \theta_{2}} \right)}}} \end{Bmatrix}} -}} \\ {\quad {\frac{q(t)}{2} \cdot \begin{Bmatrix} {{g_{1} \cdot {\sin \left( {{\omega_{0}t} - {\omega_{1}t} - \theta_{1}} \right)}} - {g_{2} \cdot {\sin \left( {{\omega_{0}t} - {\omega_{1}t} - \theta_{2}} \right)}} +} \\ {{g_{1} \cdot {\sin \left( {{\omega_{0}t} + {\omega_{1}t} + \theta_{1}} \right)}} + {g_{2} \cdot {\sin \left( {{\omega_{0}t} + {\omega_{1}t} + \theta_{2}} \right)}}} \end{Bmatrix}}} \end{matrix}} & (6) \end{matrix}$

In order to simplify the result described by equation (6) we can replace: $\begin{matrix} {{\left. {{{\left. \begin{matrix} {\theta_{1} = {\theta - \frac{\Delta \quad \theta}{2}}} \\ {\theta_{2} = {\theta + \frac{\Delta \quad \theta}{2}}} \end{matrix} \right\} \quad {with}\quad \theta} = {\frac{\theta_{1} + \theta_{2}}{2}\quad {and}}}\begin{matrix} {g_{1} = {g - \frac{\Delta \quad g}{2}}} \\ {g_{2} = {g + \frac{\Delta \quad g}{2}}} \end{matrix}} \right\} \quad {with}\quad g} = \frac{g_{1} + g_{2}}{2}} & (7) \end{matrix}$

which means that m(t) can be expressed in the form: $\begin{matrix} \begin{matrix} {{m(t)} = \quad {{\frac{i(t)}{2} \cdot \begin{Bmatrix} {{g \cdot \left\lbrack {{\cos \left( {{\omega_{0}t} - {\omega_{1}t} - \theta + \frac{\Delta \quad \theta}{2}} \right)} - {\cos \left( {{\omega_{0}t} - {\omega_{1}t} - \theta - \frac{\Delta \quad \theta}{2}} \right)}} \right\rbrack} -} \\ {{\frac{\Delta \quad g}{2} \cdot \left\lbrack {{\cos \left( {{\omega_{0}t} - {\omega_{1}t} - \theta + \frac{\Delta \quad \theta}{2}} \right)} + {\cos \left( {{\omega_{0}t} - {\omega_{1}t} - \theta - \frac{\Delta \quad \theta}{2}} \right)}} \right\rbrack} +} \\ {{g \cdot \left\lbrack {{\cos \left( {{\omega_{0}t} + {\omega_{1}t} + \theta - \frac{\Delta \quad \theta}{2}} \right)} + {\cos \left( {{\omega_{0}t} + {\omega_{1}t} + \theta + \frac{\Delta \quad \theta}{2}} \right)}} \right\rbrack} -} \\ {\frac{\Delta \quad g}{2} \cdot \left\lbrack {{\cos \left( {{\omega_{0}t} + {\omega_{1}t} + \theta - \frac{\Delta \quad \theta}{2}} \right)} - {\cos \left( {{\omega_{0}t} + {\omega_{1}t} + \theta + \frac{\Delta \quad \theta}{2}} \right)}} \right\rbrack} \end{Bmatrix}} -}} \\ {\quad {\frac{q(t)}{2} \cdot \begin{Bmatrix} {{g \cdot \left\lbrack {{\sin \left( {{\omega_{0}t} - {\omega_{1}t} - \theta + \frac{\Delta \quad \theta}{2}} \right)} - {\sin \left( {{\omega_{0}t} - {\omega_{1}t} - \theta - \frac{\Delta \quad \theta}{2}} \right)}} \right\rbrack} -} \\ {{\frac{\Delta \quad g}{2} \cdot \left\lbrack {{\sin \left( {{\omega_{0}t} - {\omega_{1}t} - \theta + \frac{\Delta \quad \theta}{2}} \right)} + {\sin \left( {{\omega_{0}t} - {\omega_{1}t} - \theta - \frac{\Delta \quad \theta}{2}} \right)}} \right\rbrack} +} \\ {{g \cdot \left\lbrack {{\sin \left( {{\omega_{0}t} + {\omega_{1}t} + \theta - \frac{\Delta \quad \theta}{2}} \right)} + {\sin \left( {{\omega_{0}t} + {\omega_{1}t} + \theta + \frac{\Delta \quad \theta}{2}} \right)}} \right\rbrack} -} \\ {\frac{\Delta \quad g}{2} \cdot \left\lbrack {{\sin \left( {{\omega_{0}t} + {\omega_{1}t} + \theta - \frac{\Delta \quad \theta}{2}} \right)} - {\sin \left( {{\omega_{0}t} + {\omega_{1}t} + \theta + \frac{\Delta \quad \theta}{2}} \right)}} \right\rbrack} \end{Bmatrix}}} \end{matrix} & (8) \\ \begin{matrix} {{m(t)} = \quad {{{i(t)}\begin{Bmatrix} {{{{- g} \cdot {\sin \left( {{\omega_{0}t} - {\omega_{1}t} - \theta} \right)}}{\sin \left( \frac{\Delta \quad \theta}{2} \right)}} - {\frac{\Delta \quad g}{2} \cdot {\cos \left( {{\omega_{0}t} - {\omega_{1}t} - \theta} \right)} \cdot {\cos \left( \frac{\Delta \quad \theta}{2} \right)}} +} \\ {{{g \cdot {\cos \left( {{\omega_{0}t} + {\omega_{1}t} + \theta} \right)}}{\sin \left( \frac{\Delta \quad \theta}{2} \right)}} - {\frac{\Delta \quad g}{2} \cdot {\sin \left( {{\omega_{0}t} + {\omega_{1}t} + \theta} \right)} \cdot {\sin \left( \frac{\Delta \quad \theta}{2} \right)}}} \end{Bmatrix}} -}} \\ {\quad {{q(t)}\begin{Bmatrix} {{{g \cdot {\sin \left( {{\omega_{0}t} - {\omega_{1}t} - \theta} \right)}}{\sin \left( \frac{\Delta \quad \theta}{2} \right)}} - {\frac{\Delta \quad g}{2} \cdot {\cos \left( {{\omega_{0}t} - {\omega_{1}t} - \theta} \right)} \cdot {\cos \left( \frac{\Delta \quad \theta}{2} \right)}} +} \\ {{{g \cdot {\sin \left( {{\omega_{0}t} + {\omega_{1}t} + \theta} \right)}}{\cos \left( \frac{\Delta \quad \theta}{2} \right)}} + {\frac{\Delta \quad g}{2} \cdot {\cos \left( {{\omega_{0}t} + {\omega_{1}t} + \theta} \right)} \cdot {\sin \left( \frac{\Delta \quad \theta}{2} \right)}}} \end{Bmatrix}}} \end{matrix} & (9) \end{matrix}$

By bringing in the carrier frequency ω₂=ω₁+ω₀ and its image frequency ω⁻²=ω₁−ω₀: $\begin{matrix} \begin{matrix} {{m(t)} = \quad {{{i(t)}\begin{Bmatrix} {{{g \cdot {\sin \left( {{\omega_{- 2}t} + \theta} \right)}}{\sin \left( \frac{\Delta \quad \theta}{2} \right)}} - {{\frac{\Delta \quad g}{2} \cdot {\cos \left( {{\omega_{- 2}t} + \theta} \right)}}{\cos \left( \frac{\Delta \quad \theta}{2} \right)}} +} \\ {{{g \cdot {\cos \left( {{\omega_{2}t} + \theta} \right)}}{\cos \left( \frac{\Delta \quad \theta}{2} \right)}} - {{\frac{\Delta \quad g}{2} \cdot {\sin \left( {{\omega_{2}t} + \theta} \right)}}{\sin \left( \frac{\Delta \quad \theta}{2} \right)}}} \end{Bmatrix}} -}} \\ {\quad {{- {q(t)}}\begin{Bmatrix} {{{g \cdot {\cos \left( {{\omega_{- 2}t} + \theta} \right)}}{\sin \left( \frac{\Delta \quad \theta}{2} \right)}} + {{\frac{\Delta \quad g}{2} \cdot {\sin \left( {{\omega_{- 2}t} + \theta} \right)}}{\cos \left( \frac{\Delta \quad \theta}{2} \right)}} +} \\ {{{g \cdot {\sin \left( {{\omega_{2}t} + \theta} \right)}}{\cos \left( \frac{\Delta \quad \theta}{2} \right)}} + {{\frac{\Delta \quad g}{2} \cdot {\cos \left( {{\omega_{2}t} + \theta} \right)}}{\sin \left( \frac{\Delta \quad \theta}{2} \right)}}} \end{Bmatrix}}} \end{matrix} & (10) \\ \begin{matrix} {{m(t)} = \quad {{g \cdot {\cos \left( \frac{\Delta \quad \theta}{2} \right)} \cdot \left\lbrack {{{i(t)} \cdot {\cos \left( {{\omega_{2}t} + \theta} \right)}} - {{q(t)} \cdot {\sin \left( {{\omega_{2}t} + \theta} \right)}}} \right\rbrack} -}} \\ {\quad {{\frac{\Delta \quad g}{2}{{\sin \left( \frac{\Delta \quad \theta}{2} \right)} \cdot \left\lbrack {{{i(t)} \cdot {\sin \left( {{\omega_{2}t} + \theta} \right)}} + {{q(t)} \cdot {\cos \left( {{\omega_{2}t} + \theta} \right)}}} \right\rbrack}} +}} \\ {\quad {{g \cdot {\sin \left( \frac{\Delta \quad \theta}{2} \right)} \cdot \left\lbrack {{{i(t)} \cdot {\sin \left( {{\omega_{- 2}t} + \theta} \right)}} - {{q(t)} \cdot {\cos \left( {{\omega_{- 2}t} + \theta} \right)}}} \right\rbrack} -}} \\ {\quad {\frac{\Delta \quad g}{2} \cdot {\cos \left( \frac{\Delta \quad \theta}{2} \right)} \cdot \left\lbrack {{{i(t)} \cdot {\cos \left( {{\omega_{- 2}t} + \theta} \right)}} + {{q(t)} \cdot {\sin \left( {{\omega_{- 2}t} + \theta} \right)}}} \right\rbrack}} \end{matrix} & (11) \end{matrix}$

The resultant signal m(t) is therefore constituted by:

a wanted signal (modulated about the carrier ω₂), weighted by a gain equal to ${g \cdot {\cos \left( \frac{\Delta \quad \theta}{2} \right)}};$

an undesirable component, whose amplitude is of the order of ${\frac{\Delta \quad g}{2} \cdot {\sin \left( \frac{\Delta \quad \theta}{2} \right)}};$

an image in ω⁻² (due to the imperfections), the power of which depends on the difference in gain Δg and in phase Δθ between the two channels.

The result from equation (11) shows that the imperfections in gain and in phase generate a parasite component in ω₂ of power sufficiently low to be easily filtered. Contrary to this, the imperfections have very little influence on the quality of the wanted signal.

If a gain error Δg=3% and a phase error (quadrature) Δθ=3° are chosen, the C/I of the wanted signal (power of the signal/power of the interference at frequency ω₂) is 68 dBc, instead of 28 dBc for an architecture with traditional direct conversion. The power level of the interference present at the image frequency ω⁻² is about 28 dB below the wanted signal while it would be 25 times higher with a traditional frequency transposition structure.

Compared to the other architectures, this original system offers the following advantages:

an identical gain for the channels i(t) and q(t);

negligible degradation of the wanted signal (≈Δg·Δθ/4);

a highly attenuated image frequency which can be suppressed with a relaxed constraint filter;

reduced complexity compared with a direct conversion transmitter thanks to signal processing being carried out in the digital domain.

Furthermore, passing through a first intermediate frequency FI(ω₀) generated in the digital domain enables one to attenuate any possible leakage from the conversion oscillator via the mixers.

2. SECOND EMBODIMENT: “SELF-CALIBRATING” IMAGE ANNULMENT

2.1 DESCRIPTION OF THE ARCHITECTURE

A second embodiment of a radiofrequency transmitter according to this invention will now be described with reference to FIG. 2.

In effect, in order to go further with the radiofrequency transmitter according to the invention it is proposed that gain and phase errors introduced in the direct conversion means 2 be compensated for digitally. Hence, at the output, the signal present at the image frequency will be completely attenuated.

This second embodiment differs from the first embodiment (described above with reference to FIG. 1) in that it additionally comprises means 10, 11 of digitally compensating for imperfections in gain Δg and in phase Δθ of the direct conversion means 2. These compensation means themselves comprise means 10 of estimating the imperfections Δg and Δθ, and means 11 of applying a correction to the two signals m₁(t) and m₂(t) in a way that generates two corrected signals m_(1c)(t) and m_(2c)(t).

In the embodiment shown in FIG. 2, the means 10 of estimating the imperfections comprise:

transposition means 12, providing a third transposition in the analog domain, by multiplication of the resultant signal m(t) by the transmission frequency ω₁, in a way that generates an intermediate signal: m′₃(t)=g₃·m(t)·cos(ω₁t+θ₁), where g₃ is the gain introduced by the transposition means 12, the filtering means 13 and the analog/digital A/N conversion means 14.

a high stop filter 13, providing filtering of the intermediate signal m′₃(t) and generating an intermediate filtered signal m′(t);

an analog/digital converter (CAN) 14, enabling one to convert the intermediate filtered signal m′(t) into digital;

means 15 of calculating imperfections in gainΔg and in phase Δθ from the digital filtered intermediate signal m′(t).

It should be noted that the means 1 of transposition into intermediate frequency and of digital processing, the means 15 of calculating the imperfections and the means 11 of applying a correction to the two signals m₁(t) and m₂(t) can be included in one and the same digital signal processor (or DSP) 16.

The operation of this second embodiment of the radiofrequency transmitter can be broken down into three successive phases, namely;

recovery of the resultant transmitted signal m(t);

calculation of the correction coefficients Δg and Δθ;

calculation of the resultant corrected signal m_(c)(t).

Theses three phases will now be described in succession, in paragraphs 2.2 to 2.4 respectively.

1.2 RECOVERY OF THE RESULTANT TRANSMITTED SIGNAL

The resultant signal m(t) is multiplied by the frequency ω₁ of the conversion oscillator 7 (the latter is included in the direct conversion means 2). Hence m(t) is transposed to a lower fixed frequency, before analog/digital conversion.

The resultant signal is written: ${m_{3}^{\prime}(t)} = {g_{3} \cdot {m(t)} \cdot {\cos \left( {{w_{1}t} + \theta - \frac{\Delta \quad \theta}{2}} \right)}}$

By developing the product above and assuming that g₃=1, m′₃(t) becomes: $\begin{matrix} \begin{matrix} {{m_{3}^{\prime}(t)} = \quad {{g \cdot {\cos \left( \frac{\Delta \quad \theta}{2} \right)} \cdot \begin{Bmatrix} {{\frac{i(t)}{2} \cdot \left\lbrack {{\cos \left( {{\omega_{0}t} + \frac{\Delta \quad \theta}{2}} \right)} + {\cos \left( {{2\quad \omega_{1}t} + {\omega_{0}t} + {2\quad \theta} - \frac{\Delta \quad \theta}{2}} \right)}} \right\rbrack} -} \\ {\frac{q(t)}{2} \cdot \left\lbrack {{\sin \left( {{\omega_{0}t} + \frac{\Delta \quad \theta}{2}} \right)} + {\sin \left( {{2\quad \omega_{1}t} + {\omega_{0}t} + {2\quad \theta} - \frac{\Delta \quad \theta}{2}} \right)}} \right\rbrack} \end{Bmatrix}} -}} \\ {\quad {{\frac{\Delta \quad g}{2} \cdot {\sin \left( \frac{\Delta \quad \theta}{2} \right)} \cdot \begin{Bmatrix} {{\frac{i(t)}{2} \cdot \left\lbrack {{\sin \left( {{\omega_{0}t} + \frac{\Delta \quad \theta}{2}} \right)} + {\sin \left( {{2\quad \omega_{1}t} + {\omega_{0}t} + {2\quad \theta} - \frac{\Delta \quad \theta}{2}} \right)}} \right\rbrack} +} \\ {\frac{q(t)}{2} \cdot \left\lbrack {{\cos \left( {{\omega_{0}t} + \frac{\Delta \quad \theta}{2}} \right)} + {\cos \left( {{2\quad \omega_{1}t} + {\omega_{0}t} + {2\quad \theta} - \frac{\Delta \quad \theta}{2}} \right)}} \right\rbrack} \end{Bmatrix}} +}} \\ {\quad {{g \cdot {\sin \left( \frac{\Delta \quad \theta}{2} \right)} \cdot \begin{Bmatrix} {{\frac{i(t)}{2} \cdot \left\lbrack {{\sin \left( {{{- \omega_{0}}t} + \frac{\Delta \quad \theta}{2}} \right)} + {\sin \left( {{2\quad \omega_{1}t} - {\omega_{0}t} + {2\quad \theta} - \frac{\Delta \quad \theta}{2}} \right)}} \right\rbrack} -} \\ {\frac{q(t)}{2} \cdot \left\lbrack {{\cos \left( {{{- \omega_{0}}t} + \frac{\Delta \quad \theta}{2}} \right)} + {\cos \left( {{2\quad \omega_{1}t} - {\omega_{0}t} + {2\quad \theta} - \frac{\Delta \quad \theta}{2}} \right)}} \right\rbrack} \end{Bmatrix}} -}} \\ {\quad {\frac{\Delta \quad g}{2} \cdot {\cos \left( \frac{\Delta \quad \theta}{2} \right)} \cdot {\begin{Bmatrix} {{\frac{i(t)}{2} \cdot \left\lbrack {{\cos \left( {{{- \omega_{0}}t} + \frac{\Delta \quad \theta}{2}} \right)} + {\cos \left( {{2\quad \omega_{1}t} - {\omega_{0}t} + {2\quad \theta} - \frac{\Delta \quad \theta}{2}} \right)}} \right\rbrack} +} \\ {\frac{q(t)}{2} \cdot \left\lbrack {{\sin \left( {{{- \omega_{0}}t} + \frac{\Delta \quad \theta}{2}} \right)} + {\sin \left( {{2\quad \omega_{1}t} - {\omega_{0}t} + {2\quad \theta} - \frac{\Delta \quad \theta}{2}} \right)}} \right\rbrack} \end{Bmatrix}.}}} \end{matrix} & (12) \end{matrix}$

The high stop filtering (filter 13) suppresses the components 2ω₁t±ω₀t and gives: $\begin{matrix} \begin{matrix} {{m^{\prime}(t)} = \quad {{g \cdot {\cos \left( \frac{\Delta \quad \theta}{2} \right)} \cdot \left\lbrack {{\frac{i(t)}{2} \cdot {\cos \left( {{\omega_{0}t} + \frac{\Delta \quad \theta}{2}} \right)}} - {\frac{q(t)}{2} \cdot {\sin \left( {{\omega_{0}t} + \frac{\Delta \quad \theta}{2}} \right)}}} \right\rbrack} -}} \\ {\quad {{\frac{\Delta \quad g}{2} \cdot {\sin \left( \frac{\Delta \quad \theta}{2} \right)} \cdot \left\lbrack {{\frac{i(t)}{2} \cdot {\sin \left( {{\omega_{0}t} + \frac{\Delta \quad \theta}{2}} \right)}} + {\frac{q(t)}{2} \cdot {\cos \left( {{\omega_{0}t} + \frac{\Delta \quad \theta}{2}} \right)}}} \right\rbrack} -}} \\ {\quad {{g \cdot {\sin \left( \frac{\Delta \quad \theta}{2} \right)} \cdot \left\lbrack {{\frac{i(t)}{2} \cdot {\sin \left( {{\omega_{0}t} - \frac{\Delta \quad \theta}{2}} \right)}} + {\frac{q(t)}{2} \cdot {\cos \left( {{\omega_{0}t} - \frac{\Delta \quad \theta}{2}} \right)}}} \right\rbrack} -}} \\ {\quad {\frac{\Delta \quad g}{2}{{\cos \left( \frac{\Delta \quad \theta}{2} \right)} \cdot \left\lbrack {{\frac{i(t)}{2} \cdot {\cos \left( {{\omega_{0}t} - \frac{\Delta \quad \theta}{2}} \right)}} - {\frac{q(t)}{2} \cdot {\sin \left( {{\omega_{0}t} - \frac{\Delta \quad \theta}{2}} \right)}}} \right\rbrack}}} \end{matrix} & (13) \\ \begin{matrix} {{m^{\prime}(t)} = \quad {{g \cdot {\cos \left( \frac{\Delta \quad \theta}{2} \right)} \cdot \begin{Bmatrix} {{\frac{i(t)}{2} \cdot \left\lbrack {{{\cos \left( {\omega_{0}t} \right)}{\cos \left( \frac{\Delta \quad \theta}{2} \right)}} - {{\sin \left( {\omega_{0}t} \right)}{\sin \left( \frac{\Delta \quad \theta}{2} \right)}}} \right\rbrack} -} \\ {\frac{q(t)}{2} \cdot \left\lbrack {{{\sin \left( {\omega_{0}t} \right)}{\cos \left( \frac{\Delta \quad \theta}{2} \right)}} + {{\cos \left( {\omega_{0}t} \right)}{\sin \left( \frac{\Delta \quad \theta}{2} \right)}}} \right\rbrack} \end{Bmatrix}} -}} \\ {\quad {{\frac{\Delta \quad g}{2} \cdot {\sin \left( \frac{\Delta \quad \theta}{2} \right)} \cdot \begin{Bmatrix} {{\frac{i(t)}{2} \cdot \left\lbrack {{{\sin \left( {\omega_{0}t} \right)}{\cos \left( \frac{\Delta \quad \theta}{2} \right)}} + {{\cos \left( {\omega_{0}t} \right)}{\sin \left( \frac{\Delta \quad \theta}{2} \right)}}} \right\rbrack} +} \\ {\frac{q(t)}{2} \cdot \left\lbrack {{{\cos \left( {\omega_{0}t} \right)}{\cos \left( \frac{\Delta \quad \theta}{2} \right)}} - {{\sin \left( {\omega_{0}t} \right)}{\sin \left( \frac{\Delta \quad \theta}{2} \right)}}} \right\rbrack} \end{Bmatrix}} -}} \\ {\quad {{g \cdot {\sin \left( \frac{\Delta \quad \theta}{2} \right)} \cdot \begin{Bmatrix} {{\frac{i(t)}{2} \cdot \left\lbrack {{{\sin \left( {\omega_{0}t} \right)}{\cos \left( \frac{\Delta \quad \theta}{2} \right)}} - {{\cos \left( {\omega_{0}t} \right)}{\sin \left( \frac{\Delta \quad \theta}{2} \right)}}} \right\rbrack} +} \\ {\frac{q(t)}{2} \cdot \left\lbrack {{{\cos \left( {\omega_{0}t} \right)}{\cos \left( \frac{\Delta \quad \theta}{2} \right)}} + {{\sin \left( {\omega_{0}t} \right)}{\sin \left( \frac{\Delta \quad \theta}{2} \right)}}} \right\rbrack} \end{Bmatrix}} -}} \\ {\quad {\frac{\Delta \quad g}{2} \cdot {\cos \left( \frac{\Delta \quad \theta}{2} \right)} \cdot \begin{Bmatrix} {{\frac{i(t)}{2} \cdot \left\lbrack {{{\cos \left( {\omega_{0}t} \right)}{\cos \left( \frac{\Delta \quad \theta}{2} \right)}} + {{\sin \left( {\omega_{0}t} \right)}{\sin \left( \frac{\Delta \quad \theta}{2} \right)}}} \right\rbrack} -} \\ {\frac{q(t)}{2} \cdot \left\lbrack {{{\sin \left( {\omega_{0}t} \right)}{\cos \left( \frac{\Delta \quad \theta}{2} \right)}} - {{\cos \left( {\omega_{0}t} \right)}{\sin \left( \frac{\Delta \quad \theta}{2} \right)}}} \right\rbrack} \end{Bmatrix}}} \end{matrix} & (14) \\ \begin{matrix} {{m^{\prime}(t)} = \quad {{g \cdot \begin{Bmatrix} {{\frac{i(t)}{2} \cdot \left\lbrack {{{\cos \left( {\omega_{0}t} \right)}{\cos^{2}\left( \frac{\Delta \quad \theta}{2} \right)}} - {{\sin \left( {\omega_{0}t} \right)}\frac{\sin \left( {\Delta \quad \theta} \right)}{2}}} \right\rbrack} -} \\ {\frac{q(t)}{2} \cdot \left\lbrack {{{\sin \left( {\omega_{0}t} \right)}{\cos^{2}\left( \frac{\Delta \quad \theta}{2} \right)}} + {{\cos \left( {\omega_{0}t} \right)}\frac{\sin \left( {\Delta \quad \theta} \right)}{2}}} \right\rbrack} \end{Bmatrix}} -}} \\ {\quad {{\frac{\Delta \quad g}{2} \cdot \begin{Bmatrix} {{\frac{i(t)}{2} \cdot \left\lbrack {{{\sin \left( {\omega_{0}t} \right)}\frac{\sin \left( {\Delta \quad \theta} \right)}{2}} + {{\cos \left( {\omega_{0}t} \right)}{\sin^{2}\left( \frac{\Delta \quad \theta}{2} \right)}}} \right\rbrack} +} \\ {\frac{q(t)}{2} \cdot \left\lbrack {{{\cos \left( {\omega_{0}t} \right)}\frac{\sin \left( {\Delta \quad \theta} \right)}{2}} - {{\sin \left( {\omega_{0}t} \right)}{\sin^{2}\left( \frac{\Delta \quad \theta}{2} \right)}}} \right\rbrack} \end{Bmatrix}} -}} \\ {\quad {{g \cdot \begin{Bmatrix} {{\frac{i(t)}{2} \cdot \left\lbrack {{{\sin \left( {\omega_{0}t} \right)}\frac{\sin \left( {\Delta \quad \theta} \right)}{2}} - {{\cos \left( {\omega_{0}t} \right)}{\sin^{2}\left( \frac{\Delta \quad \theta}{2} \right)}}} \right\rbrack} +} \\ {\frac{q(t)}{2} \cdot \left\lbrack {{{\cos \left( {\omega_{0}t} \right)}\frac{\sin \left( {\Delta \quad \theta} \right)}{2}} + {{\sin \left( {\omega_{0}t} \right)}{\sin^{2}\left( \frac{\Delta \quad \theta}{2} \right)}}} \right\rbrack} \end{Bmatrix}} -}} \\ {\quad {\frac{\Delta \quad g}{2} \cdot \begin{Bmatrix} {{\frac{i(t)}{2} \cdot \left\lbrack {{{\cos \left( {\omega_{0}t} \right)}{\cos^{2}\left( \frac{\Delta \quad \theta}{2} \right)}} + {{\sin \left( {\omega_{0}t} \right)}\frac{\sin \left( {\Delta \quad \theta} \right)}{2}}} \right\rbrack} -} \\ {\frac{q(t)}{2} \cdot \left\lbrack {{{\sin \left( {\omega_{0}t} \right)}{\cos^{2}\left( \frac{\Delta \quad \theta}{2} \right)}} - {{\cos \left( {\omega_{0}t} \right)}\frac{\sin \left( {\Delta \quad \theta} \right)}{2}}} \right\rbrack} \end{Bmatrix}}} \end{matrix} & (15) \\ \begin{matrix} {{m^{\prime}(t)} = \quad {g \cdot \left\{ {{\frac{i(t)}{2} \cdot \left\lbrack {{\cos \left( {\omega_{0}t} \right)} - {{\sin \left( {\omega_{0}t} \right)}{\sin \left( {\Delta \quad \theta} \right)}}} \right\rbrack} - {\frac{q(t)}{2} \cdot}} \right.}} \\ {\left. \quad \left\lbrack {{\sin \left( {\omega_{0}t} \right)} + {{\cos \left( {\omega_{0}t} \right)}{\sin \left( {\Delta \quad \theta} \right)}}} \right\rbrack \right\} - {\frac{\Delta \quad g}{2} \cdot \left\{ {{\frac{i(t)}{2} \cdot \left\lbrack {{\cos \left( {\omega_{0}t} \right)} + {{\sin \left( {\omega_{0}t} \right)}{\sin \left( {\Delta \quad \theta} \right)}}} \right\rbrack} -} \right.}} \\ \left. \quad {\frac{q(t)}{2} \cdot \left\lbrack {{\sin \left( {\omega_{0}t} \right)} - {{\cos \left( {\omega_{0}t} \right)}{\sin \left( {\Delta \quad \theta} \right)}}} \right\rbrack} \right\} \end{matrix} & (16) \\ \begin{matrix} {{m^{\prime}(t)} = \quad {{\left\{ {{\frac{i(t)}{2} \cdot \left\lbrack {g - \frac{\Delta \quad g}{2}} \right\rbrack} - {{\frac{q(t)}{2}\left\lbrack {g + \frac{\Delta \quad g}{2}} \right\rbrack}{\sin \left( {\Delta \quad \theta} \right)}}} \right\} \cdot {\cos \left( {\omega_{0}t} \right)}} -}} \\ {\quad {\left\{ {{{\frac{i(t)}{2} \cdot \left\lbrack {g + \frac{\Delta \quad g}{2}} \right\rbrack}{\sin \left( {\Delta \quad \theta} \right)}} + {\frac{q(t)}{2}\left\lbrack {g - \frac{\Delta \quad g}{2}} \right\rbrack}} \right\} \cdot {\sin \left( {\omega_{0}t} \right)}}} \end{matrix} & (17) \\ {{m^{\prime}(t)} = {{{i^{\prime}(t)} \cdot {\cos \left( {\omega_{0}t} \right)}} - {{{q^{\prime}(t)} \cdot {\sin \left( {\omega_{0}t} \right)}}\quad {with}\quad \left\{ {{{\begin{matrix} {{i^{\prime}(t)} = {{a \cdot {i(t)}} - {b \cdot {q(t)}}}} \\ {{q^{\prime}(t)} = {{b \cdot {i(t)}} + {a \cdot {q(t)}}}} \end{matrix}a} = \frac{{2g} - {\Delta \quad g}}{4}},\quad {b = {\frac{{2g} + {\Delta \quad g}}{4}{\sin \left( {\Delta \quad \theta} \right)}}}} \right.}}} & (18) \end{matrix}$

From equation (18), one seeks to extract the coefficients ‘a’ and ‘b’ so as to deduce from it the values of Δg and Δθ. Knowing that i²(t)+q²(t)=1, one has

a=i(t)·i′(t)+q(t)·q′(t)

b=i(t)·q′(t)−q(t)·i′(t)  (19)

In the real case where g₃≠0, the coefficients ‘a’ and ‘b’ are written: $\begin{matrix} {a = {{{g_{3} \cdot \frac{{2g} - {\Delta \quad g}}{4}}\quad {and}\quad b} = {{g_{3} \cdot \frac{{2g} + {\Delta \quad g}}{4}}\sin \quad \Delta \quad \theta}}} & (20) \end{matrix}$

1.3 CALCULATION OF THE CORRECTION COEFFICIENTS

Knowing the theoretical values of the gains ‘g’ and ‘g₃’, one can calculate Δg, Δθ and the real value of g₃ from the coefficients ‘a’ and ‘b’. Equation (20) gives us: $\begin{matrix} {{a + b} = {\frac{g_{3}}{4}\left\lbrack {{2{g\left( {1 + {\sin \quad \Delta \quad \theta}} \right)}} - {\Delta \quad {g\left( {1 - {\sin \quad \Delta \quad \theta}} \right)}}} \right\rbrack}} & (21) \end{matrix}$

Assuming that, in a first approximation, sin Δθ≈0 and Δg<<g, an estimation of the gain g₃ can be deduced: $\begin{matrix} {g_{3}^{\prime} = {\frac{2\left( {a + b} \right)}{g} = {{\frac{2}{g}\left\lbrack {{i^{\prime}(t)} + {q^{\prime}(t)}} \right\rbrack}\left\lbrack {{i(t)} - {q(t)}} \right\rbrack}}} & (22) \end{matrix}$

On keeping the approximation sin Δθ≈0 and knowing the theoretical value for g₃, one can rapidly determine Δg: $\begin{matrix} {{{\Delta \quad g} \approx {\frac{2g}{g_{3}}\left( {g_{3} - g_{3}^{\prime}} \right)}} = {{2g} - {{\frac{4}{g_{3}}\left\lbrack {{i^{\prime}(t)} + {q^{\prime}(t)}} \right\rbrack}\left\lbrack {{i(t)} - {q(t)}} \right\rbrack}}} & (23) \end{matrix}$

On introducing the gain calculated in (22), the coefficient Δθ is deduced from equation (20) with the hypothesis that sin Δθ≈Δθ and Δg·sin Δθ≈0: $\begin{matrix} {{{\Delta \quad \theta} \approx \frac{b}{g \cdot g_{3}}} = {\frac{1}{g \cdot g_{3}}\left\lbrack {{{i(t)} \cdot {q^{\prime}(t)}} - {{q(t)} \cdot {i^{\prime}(t)}}} \right\rbrack}} & (24) \end{matrix}$

By choosing values to the value 2 for the theoretical gains ‘g’ and ‘g3’, the calculation of the correction coefficients is simplified, avoiding an expensive division in silicon.

1.4 CALCULATION OF THE RESULTANT CORRECTED SIGNAL

After calculation of the correction coefficients Δg and Δθ, the new corrected transmission signal m_(c)(t) must be constructed: $\begin{matrix} {{m_{c}(t)} = {{{{m_{1c}(t)} \cdot \left( {g - \quad \frac{\Delta \quad g}{2}} \right)}{\cos \left( {{\omega_{1}t} + \theta - \quad \frac{\Delta \quad \theta}{2}} \right)}} + {{{m_{2c}(t)} \cdot \left( {g + \frac{\Delta \quad g}{2}} \right)}{\sin \left( {{\omega_{1}t} + \theta + \frac{\Delta\theta}{2}} \right)}}}} & (25) \end{matrix}$

where m_(1c)(t) and m_(2c)(t) are the two channels corrected for gain and phase: $\begin{matrix} {{{m_{1c}(t)} = {\frac{1}{\left( {1 - \quad \frac{\Delta \quad g}{2g}} \right)}\left\lbrack {{{i(t)} \cdot {\cos \left( {{\omega_{0}t} - \quad \frac{\Delta \quad \theta}{2}} \right)}} - {{q(t)} \cdot {\sin \left( {{\omega_{0}t} - \quad \frac{\Delta \quad \theta}{2}} \right)}}} \right\rbrack}}{{m_{2c}(t)} = {\frac{- 1}{\left( {1 + \quad \frac{\Delta \quad g}{2g}} \right)}\left\lbrack {{{i(t)} \cdot {\cos \left( {{\omega_{0}t} + \frac{\Delta \quad \theta}{2}} \right)}} + {{q(t)} \cdot {\sin \left( {{\omega_{0}t} + \frac{\Delta \quad \theta}{2}} \right)}}} \right\rbrack}}} & (26) \end{matrix}$

By developing equation (25) one arrives at: $\begin{matrix} {{m_{c}(t)} = {{{i(t)} \cdot {\cos \left( {{\omega_{1}t} + \theta - \quad \frac{\Delta \quad \theta}{2}} \right)} \cdot {\cos \left( {{\omega_{1}t} - \quad \frac{\Delta \quad \theta}{2}} \right)}} - {{q(t)} \cdot {\cos \left( {{\omega_{1}t} + \theta - \quad \frac{\Delta \quad \theta}{2}} \right)} \cdot {\sin \left( {{\omega_{1}t} - \quad \frac{\Delta \quad \theta}{2}} \right)}} - {{i(t)} \cdot {\sin \left( {{\omega_{1}t} + \theta + \frac{\Delta \quad \theta}{2}} \right)} \cdot {\sin \left( {{\omega_{1}t} + \frac{\Delta \quad \theta}{2}} \right)}} - {{q(t)} \cdot {\sin \left( {{\omega_{1}t} + \theta + \frac{\Delta \quad \theta}{2}} \right)} \cdot {\cos \left( {{\omega_{1}t} + \frac{\Delta \quad \theta}{2}} \right)}}}} & (27) \\ {{m_{c}(t)} = {{\frac{i(t)}{2}\left\lbrack {{\cos \left( {{\omega_{1}t} - {\omega_{0}t} + \theta} \right)} + {\cos \left( {{\omega_{1}t} + {\omega_{0}t} + \theta - {\Delta \quad \theta}} \right)}} \right\rbrack} + {\frac{q(t)}{2}\left\lbrack {{\sin \left( {{\omega_{1}t} - {\omega_{0}t} + \theta} \right)} - {\sin \left( {{\omega_{1}t} + {\omega_{0}t} + \theta - {\Delta \quad \theta}} \right)}} \right\rbrack} - \quad {\frac{i(t)}{2}\left\lbrack {{\cos \left( {{\omega_{1}t} - {\omega_{0}t} + \theta} \right)} - {\cos \left( {{\omega_{1}t} + {\omega_{0}t} + \theta + {\Delta \quad \theta}} \right)}} \right\rbrack} - \quad {\frac{q(t)}{2}\left\lbrack {{\sin \left( {{\omega_{1}t} - {\omega_{0}t} + \theta} \right)} + {\sin \left( {{\omega_{1}t} + {\omega_{0}t} + \theta + {\Delta \quad \theta}} \right)}} \right\rbrack}}} & (28) \\ {{m_{c}(t)} = {{\frac{i(t)}{2}\left\lbrack {{\cos \left( {{\omega_{1}t} + {\omega_{0}t} + \theta - {\Delta \quad \theta}} \right)} + {\cos \left( {{\omega_{1}t} + {\omega_{0}t} + \theta + {\Delta \quad \theta}} \right)}} \right\rbrack} - \quad {\frac{q(t)}{2}\left\lbrack {{\sin \left( {{\omega_{1}t} + {\omega_{0}t} + \theta - {\Delta \quad \theta}} \right)} + {\sin \left( {{\omega_{1}t} + {\omega_{0}t} + \theta + {\Delta \quad \theta}} \right)}} \right\rbrack}}} & (29) \end{matrix}$

 m _(c)(t)=[i(t)cos(ω₁ t+ω ₀ t+θ)−q(t)sin(ω₁ t+ω ₀ t+θ)]cos Δθ  (30)

By again substituting ω₂=ω₁+ω₀, one again finds the expression for the signal m(t) formulated in the ideal case (equation 4), with g=1). The correction system is simplified without degrading the signal quality since this again is applied to both channels i(t) and q(t). If Δθ=5°, the resultant error is about 0.4% on the amplitude of the transmitted signal.

The simplified expression for the two channels m_(1c)(t) and m_(2c)(t) corrected for gain and for phase is written: $\begin{matrix} {{{m_{1c}(t)} = {\left( {1 + \frac{\Delta \quad g}{2g}} \right) \cdot \left\lbrack {{{i(t)} \cdot {\cos \left( {{\omega_{0}t} - \quad \frac{\Delta \quad \theta}{2}} \right)}} - {{q(t)} \cdot {\sin \left( {{\omega_{0}t} - \quad \frac{\Delta \quad \theta}{2}} \right)}}} \right\rbrack}}{m_{2c}(t)} = {{- \left( {1 - \frac{\Delta \quad g}{2g}} \right)} \cdot \left\lbrack {{{i(t)} \cdot {\sin \left( {{\omega_{0}t} + \quad \frac{\Delta \quad \theta}{2}} \right)}} + {{q(t)} \cdot {\sin \left( {{\omega_{0}t} + \quad \frac{\Delta \quad \theta}{2}} \right)}}} \right\rbrack}} & (31) \end{matrix}$

In other words the means 11 of applying a correction to the two signals m₁(t) and m₂(t) apply:

to the first channel: a gain equal to (1+Δg/2g) and a phase shift equal to (−Δθ/2);

to the second channel: a gain equal to (1−Δg/2g) and a phase shift equal to (+Δθ/2).

In this way all division operations for the calculation of the corrected signal are avoided; within the hypothesis where the theoretical value for the gain ‘g’ is chosen in such a way that it is a multiple of a power of 2.

The algorithms for calculating Δg and Δθ have been successfully simulated: the error is compensated after 5 iterations at the most, according to the orders of magnitude of Δg and Δθ (up to 10% and 8° respectively) and with an error ranging up to 12% on the value of g₃.

Throughout the detailed description above of two particular embodiments, the new architecture of a radiofrequency transmitter according to this invention has been described.

It will be recalled that it combines the advantages of a transmitter with direct conversion (no image frequency) without having its disadvantages (no degradation of the wanted signal). Thanks to the self-calibrating system, the errors, introduced through the analog part sensitive to the imperfections, are compensated for in the digital domain. Hence the resultant signal which is transmitted has characteristics close to the ideal case.

The signal processing functions are carried out in the digital domain so as to exploit the precision and the high degree of integration on silicon. The analog/digital converter (CAN) 14 is, for example of the “delta-sigma pass band” type, whose working frequency is preferably identical to that of the two digital/analog converters 5₁ and 5₂. The analog high stop filter 13 has relaxed constraints: a filter of order 2 is sufficient in most cases.

The radiofrequency transmitter according to the invention provides relatively low complexity compared with the remainder of the transmission chain and has the advantage of being able to be completely integrated on silicon. 

What is claimed is:
 1. Radiofrequency transmitter, of the type supplied with two signals in base band and in quadrature, i(nT) and q(nT), which are images from two binary streams representing information to be transmitted, the radiofrequency transmitter: means (1) of transposition into an intermediate frequency and of digital processing, that provide a first transposition into the digital domain, at an intermediate frequency ω₀, for said base band signals, and generating, by combination, two signals at the intermediate frequency and in quadrature; means (2) of direct conversion, providing a second transposition into the analog domain, after multiplication by a frequency ω₁, followed by a summation, of said two signals at the intermediate frequency and in quadrature, in a way that generates a resultant signal which is finally modulated around a frequency ω₂, where ω₀+ω₁ wherein said two signals at the intermediate frequency and in quadrature are of the form: m₁(t)=i(t)·cos(ω₀t)−q(t)·sin(ω₀t) m₂(t)=−i(t)·sin(ω₀t)−q(t)·cos(ω₀t) and in that said resultant signal is of the form m(t)=g₁·m₁(t)·cos(ω₁t+θ₁)+g₂·m₂(t)·sin(ω₁t+θ₂) where g₁ and g₂ are the respective gains for the two channels in quadrature of said means of direct conversion θ₁ and θ₂ are the respective phase shifts for the two channels in quadrature of said means of direct conversion.
 2. Radiofrequency transmitter according to claim 1 characterized in that it is produced in the form of an integrated circuit.
 3. Radiofrequency transmitter according to claim 1 it additionally comprising filtering means (17) that receive and filter said resultant signal, in a way that suppresses, at least in part, a parasitic component of said resultant signal, at the image frequency ω⁻².
 4. Radiofrequency transmitter according to claim 2, at least a part of said filtering means (17) is included in said integrated circuit.
 5. Radiofrequency transmitter of the type supplied with two signals in base band and in quadrature, i(nT) and q(nT), which are images from two binary streams representing information to be transmitted, the radiofrequency transmitter: means (1) of transposition into an intermediate frequency and of digital processing, that provide a first transposition into the digital domain, at an intermediate frequency ω₀, for said base band signals, and generating, by combination, two signals at the intermediate frequency and in quadrature; means (2) of direct conversion, providing a second transposition into the analog domain, after multiplication by a frequency ω₁, followed by a summation, of said two signals at the intermediate frequency and in quadrature, in a way that generates a resultant signal which is finally modulated around a frequency ω₂, where ω₀+ω₁ means (10, and 11) of digitally compensating for imperfections in gain and in phase of said means of direct conversion means (10 of estimating the imperfections in gain Δg and in phase Δθ of said means of direct conversion with, Δg=g ₂ −g ₁ Δθ=θ₂−θ₁ means (11) of applying a correction to said tow signals at the intermediate frequency and in quadrature, in a way that generates two corrected signals, m_(1c)(t) and m_(2c)(t) at the intermediate frequency and in quadrature, the corresponding resultant corrected signal being written:  m _(c)(t)=g ₁ ·m _(1c)(t)·cos(ω₁ t+θ ₁)+g ₂ ·m _(2c)(t)·sin(ω₁ t+θ ₂).
 6. Radiofrequency transmitter according to claim 5, wherein said means (10) of estimating imperfections comprise: transportation means (12), that provide a third transposition in the analog domain, by multiplication of the resultant signal by said transmission frequency ω₁ in a way that generates the following intermediate signal: m′ ₃(t)=g ₃ ·m(t)·cos(ω₁ t+θ ₁), where g₃ is the gain introduced by said transposition means (12), said filtering means (13) and said analog/digital A/N conversion means (14); high stop filtering means (13), providing filtration of the intermediate signal and generating an intermediate filtered signal m′(t); analog/digital conversion means (14), enabling one to convert the intermediate filtered signal m′(t) into digital; means (15) of calculating imperfections in gain Δg and in phase Δθ from the digital filtered intermediate signal by said means of analog/digital conversion.
 7. Radiofrequency transmitter according to claim 6, wherein said means (15) of calculating imperfections in gain Δg and in phase Δθ comprise: means of transforming said digital filtered intermediate signal in the for: m′(t)=i′(t)·cos(ω₀ t)−q′(t)·sin(ω₀ t) and in that the imperfections in gain Δg and in phase Δθ are estimated in accordance with the following formulae; Δg=2g−(4/g ₃)·[i′(t)+q′(t)]·[i(t)−q(t)] Δθ=(1/g·g ₃)·[i(t)·q′(t)−q(t)i′(t)].
 8. Radiofrequency transmitter according to claim 6, wherein said gains g and g₃ have values of power
 2. 9. Radio frequency transmitter according to claim 5, wherein said two corrected signals, at the intermediate frequency and in quadrature, are written in the following simplified form: m _(1c)(t)=(1+(Δg/2g))·[i(t)·cos(ω₀ t−(Δθ/2))−q(t)·sin(ω₀ t−(Δθ/2))] m _(2c)(t)=−(1−(Δg/2g))·[i(t)·sin(ω₀ t−(Δθ/2))−q(t)·cos(ω₀ t+(Δθ/2))].
 10. Radiofrequncy transmitter according to claim 6, wherein said means (14) of analog/digital conversion have a working frequency substantially identical to the working frequency of means (5 ₁, 5 ₂) of digital/analog conversion included in said means (2) of direct conversion.
 11. Radiofrequency transmitter according to claim 2, additionally comprising means (10, and 11) of digitally compensating for imperfections in gain and in phase of said means of direct conversion, said means (10, 11) of digital compensation being included in said integrated circuit. 